Manager, Enterprise Data and Analytics
Listed on 2026-10-17
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IT/Tech
Data Science Manager, Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Why Merit? At Merit Medical, our mission is to create innovative medical devices that improve lives. Our goal is to hire and develop people who want to build something special through hard work, team effort, and commitment. Together, we are making a difference in the lives of patients around the world.
WORK SHIFT DAY (United States of America)SUMMARY OF DUTIES
Responsible for leading the Business Intelligence Systems team and overseeing the implementation, maintenance, governance, and continuous improvement of the company’s BI and analytics systems. Provides leadership and direction to BI personnel, including establishing priorities, developing team capabilities, managing performance, and ensuring successful delivery of analytics solutions. Responsible for the worldwide implementation, testing, maintenance, governance, and adoption of BI tools, AI technologies, data management tools, and Microsoft Power Platform technologies.
Provides leadership in the adoption and ongoing development of enterprise analytics capabilities, including but not limited to Microsoft Fabric, Power BI, Power Apps, and Power Automate. Collaborates closely with the Operational Systems team, business leaders, and other business teams to ensure analytics solutions are scalable, secure, governed, and aligned with business priorities.
Establishing team priorities and assigning work based on business needs. Coaching, mentoring, and developing team members to strengthen technical, business, and leadership capabilities. Establishing performance expectations and holding team members accountable for results. Managing resource capacity and balancing competing project, operational, and support priorities. Promoting collaboration, continuous improvement, customer service, and knowledge sharing across the team. Interviewing, hiring, training, evaluating performance, and performing other personnel management responsibilities.
Establishes and promotes standards for dashboard development, data models, reusable analytics assets, security, governance, and analytics lifecycle management. Supports an enterprise self‑service analytics strategy that enables business users while maintaining appropriate governance and data standards.
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